• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • University of Bergen Library
  • Registrations from Cristin
  • View Item
  •   Home
  • University of Bergen Library
  • Registrations from Cristin
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Adaptive Systems for Internet-Delivered Psychological Treatments

Mukhiya, Suresh Kumar; Wake, Jo Dugstad; Inal, Yavuz; Lamo, Yngve
Journal article, Peer reviewed
Published version
Thumbnail
View/Open
PDF (1.573Mb)
URI
https://hdl.handle.net/11250/2732362
Date
2020
Metadata
Show full item record
Collections
  • Department of Information Science and Media Studies [727]
  • Registrations from Cristin [5233]
Original version
IEEE Access. 2020, 8, 112220 - 112236.   10.1109/ACCESS.2020.3002793
Abstract
Internet-Delivered Psychological Treatments (IDPT) are based on evidence-based psychological treatment models adjusted for interaction through the Internet. The use of Internet technologies has the potential to increase the availability of evidence-based mental health services for a far-reaching population with the use of fewer resources. Despite evidence that Internet Interventions can be effective means in mental health morbidities, most current IDPT systems are tunnel-based, inflexible, and non-interoperable. Hence it becomes essential to understand which elements of an Internet intervention contribute to effectiveness and treatment outcomes. By analogy, adaptation is a central aspect of successful face-to-face mental health therapy. Adaptability to patient needs can be regarded as an essential outcome factor in online systems for mental health interventions as well. While some aspects of rule-based and machine-learning-based adaptation have attracted attention in recent IDPT development, systematic reporting of core components, dimensions of adaptiveness, information architecture, and strategies for adaptation in the IDPT system are still lacking. To bridge this gap, we propose a model that shows how adaptive systems are represented in classical control theory and discuss how the model can be used to specify adaptive IDPT systems. Concerning the reference model, we outline the core components of adaptive IDPT systems, the main adaptive elements, dimensions of adaptiveness, information architecture applied to adaptive systems, and strategies used in the adaptation process. We also provide comprehensive guidelines on how to develop an adaptive IDPT system based on the Person-Based Approach.
Publisher
Institute of Electrical and Electronics Engineers
Journal
IEEE Access

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit